hyperresearch

Transform Claude Code or Codex into a deep research agent that collects, searches, and synthesizes online research.

MCPResearchOpen source

Type: MCP
Transport: http
Open source: Yes
GitHub Stars: ★ 3.7k
Source: mcp-github
Repository: github.com/jordan-gibbs/hyperresearch

Overview

Hyperresearch is a powerful deep research tool that transforms Claude Code or OpenAI Codex into an intelligent research agent. It collects, searches, and synthesizes information from the web, generates verified reports, and stores them in a persistent, searchable knowledge base. The knowledge base becomes smarter with each use. Supports local installation and self-hosted services. Ideal for users requiring in-depth research and literature organization.

Capabilities

▪Processes over 250 sources per run
▪Each citation is validated before report publication
▪Independent review to avoid redundant content
▪Four reviewers concurrently examine each draft
▪Accesses eight academic resources per query
▪Reads full-text of paywalled papers

Use cases

Academic researchMarket researchTechnical literature compilationNews investigations

Setup

Requires: API KeyPython 3.11+

pip install hyperresearch && hyperresearch install . --target codex

This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.

FAQ

How do I install Hyperresearch?

Install via pip: pip install hyperresearch and run the hyperresearch install command.

Which platforms are supported?

Supports Claude Code and OpenAI Codex.

Do I need an API key?

Yes, an API key is required to access the associated services.

Related skills

Scrapling

An adaptive web scraping framework capable of handling everything from single requests to large-scale scraping.

MCP

TrendRadar

An AI-driven tool for sentiment monitoring and trend analysis, supporting multi-platform aggregation, RSS subscription, and intelligent notifications.

MCP